MACHINE TOOL, SIMULATION APPARATUS, AND MACHINE LEARNING DEVICE

摘要

A machine tool is provided with an operation evaluation section that outputs evaluation data on an operation of the machine tool and a machine learning device that performs machine learning of the movement amount of an axis. The machine learning device calculates a reward from physical-amount data on the machine tool and the evaluation data, performs adjustment of the movement amount of the axis based on a machine learning result of the adjustment of the movement amount of the axis and the physical-amount data, and performs the machine learning of the adjustment of the movement amount of the axis based on the adjusted movement amount of the axis, the physical-amount data after the operation of the machine tool based on the movement amount of the axis, and the reward.

主权项

1. A machine tool that drives at least one axis based on a program to perform machining of a workpiece, the machine tool comprising:
an operation evaluation section that evaluates an operation of the machine tool to output evaluation data; and a machine learning device that performs machine learning of a movement amount of the axis, wherein the machine learning device has
a state observation section that acquires physical-amount data including at least an axis position of the axis of the machine tool and the evaluation data output from the operation evaluation section,a reward calculation section that calculates a reward based on the physical-amount data and the evaluation data acquired by the state observation section,a movement-amount adjustment learning section that performs an adjustment of the movement amount of the axis based on a machine learning result of the adjustment of the movement amount of the axis and the physical-amount data acquired by the state observation section, anda movement-amount output section that outputs the movement amount of the axis adjusted by the movement-amount adjustment learning section, and wherein the movement-amount adjustment learning section is configured to perform the machine learning of the adjustment of the movement amount of the axis based on the adjusted movement amount of the axis, the physical-amount data acquired by the state observation section after the operation of the machine tool based on the output movement amount of the axis, and the reward calculated by the reward calculation section.